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The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis

science China(Information sciences) 2019年第12期62卷 269-271页

作者： Hao REN Nan LI Yi CHAI Jianfeng QU Qiu TANG Lei HUANG School of Automation Chongqing University Key Laboratory of Complex System Safety and Control Ministry of Education School of Computer Science and Technology Huaiyin Normal University

Dear editor,Generally, one of the most prominent features of modern industrial systems is the massive amount of data collected from various sensors, which poses great challenges to traditional methods of captur-

关键词： The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis

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An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

arXiv

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arXiv 2021年

作者： Ayodeji, Abiodun Wang, Wenhai Su, Jianzhong Yuan, Jianquan Liu, Xinggao State Key Laboratory of Industrial Control Technology Control Department Zhejiang University Hangzhou310027 China Tianjin Jinhang Technical Physics Institute Tianjin300192 China Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing100074 China

A single unit (head) is the conventional input feature extractor in deep learning architectures trained on multivariate time series signals. The importance of the fixed-dimensional vector representation generated by the single-head network has been demonstrated for industrial machinery condition monitoring and predictive maintenance. However, processing heterogeneous sensor signals with a single-head may result in a model that cannot explicitly account for the diversity in time-varying multivariate inputs. This work extends the conventional single-head deep learning models to a more robust form by developing context-specific heads to independently capture the inherent pattern of each sensor reading in multivariate time series signals. Using the turbofan aircraft engine benchmark dataset (CMAPSS), an extensive experiment is performed to verify the effectiveness and benefits of multi-head fully connected neurons, recurrent networks, convolution network, the transformer-style stand-alone attention network, and their variants for remaining useful life estimation. Moreover, the effect of different attention mechanisms on the multi-head models is also evaluated. In addition, each architecture's relative advantage and computational overhead are analyzed. Results show that utilizing the attention layer is task-sensitive and model dependent, as it does not provide consistent improvement across the models investigated. The result is further compared with five state-of-the-art models, and the comparison shows that a relatively simple multi-head architecture performs better than the state-of-the-art models. The results presented in this study demonstrate the importance of multi-head models and attention mechanisms to improved understanding of the remaining useful life of industrial assets. © 2021, CC BY.

关键词： Recurrent neural networks

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Society 5.0: Metaverse Facilitated Human-centric “5H” Services Across Cyber-Physical-Social Spaces

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IFAC-PapersOnLine 2024年第3期58卷 159-164页

作者： Xiao Wang Jun Huang QingHua Ni Zhe Wan HuaDan Xue Larry Stapleton Fei-Yue Wang Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei 230601 China Macau University of Science and Technology Macau 999078 China Beijing Normal University Beijing 100875 China Department of Radiology Peking Union Medical College Hospital Shuaifuyuan Beijing 100730 Dongcheng District China Brownsbarn Thomastown Co. Kilkenny Ireland R95D8P2 Qingdao Academy of Intelligent Industries Qingdao 266109 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Cyber-Physical-Social systems bridge the gap between social resource organization and distribution, and give birth to Society 5.0, which represents a transformative vision aimed at realizing the human-centric paradigm for more efficient and effective sustainable development. In this paper, we discuss the decentralized paradigm in fostering human needs-driven smart services, in line with Maslow’s hierarchy of needs theory. Societies 5.0 is committed to optimizing the use of natural, artificial, and social resources by enhancing democratic participation and ensuring that decision-making processes are more transparent, reliable, and aligned with the needs of the populace in sustainable ways. Moreover, our discussion extends to how Society 5.0’s principles correlate with the United Nations Sustainable Development Goals (SDGs), providing a framework that supports health, education, and poverty reduction, among other targets. This approach also aligns with the Human Development Index (HDI), reinforcing the notion that technological progress in Society 5.0 does not overshadow but rather complements and enhances human values, paving a synergistic path towards sustainable development that is both advanced and fundamentally human-centric.

关键词： Cyber-Physical-Social systems Society 5.0 Human-Centric Services Socio-technical synergistic sustainable development

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Quantitative evaluation modeling of mobile Ad Hoc networkcommunication service availability under failure|

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第6期11卷 250-267页

作者： Yanfang Fu Yichang Su Zan Wang Dengdeng Guo Fei Dai Lianjiong Zhong Jianing Wei Xi’an Technological University State and Provincial Joint Engineering Lab.of Advanced Network Monitoring and Control Xi’an 710021P.R.China Beijing Electromechanical Engineering Institute Beijing 100074 P.R.China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing 100074 P.R.China

The availability of network communication services is an important evaluation standard to measure the ability of the network to meet the user’s business *** current related research mostly focuses on the evaluation of network reliability,which cannot reflect the logical relationship between failure/maintenance and network performance *** Ad Hoc Network is a multi-hop,centerless and energy-constrained distributed *** to the dynamic change of communication environment and the instability of wireless link,Ad Hoc Network is facing great challenges in service avail*** this thesis,a fault-based quantitative evaluation model of traffic availability in Ad Hoc networks is *** studying the multi-state Markov fault model of communication networks and the performance analysis of delay index based on CSMA\CA protocol,the quantitative evaluation of traffic availability in Ad Hoc networks is *** the availability of tactical unit network under different typical network configuration conditions is analyzed through experiments.

关键词： Network reliability service availability fault model quantitative evaluation

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Simulation-Dynamic Modeling Of Supply Chains Based On Big Data

Simulation-Dynamic Modeling Of Supply Chains Based On Big Da...

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Ekaterina Volneikina Oksana Kukartseva Andrew Menshenin Vadim Tynchenko Kseniya Degtyareva Department of System Analysis Siberian Federal University Krasnoyarsk Russia Information Control Systems Department Reshetnev Siberian State University of Science and Technology Krasnoyarsk Russia Department of Informatics Siberian Federal University Krasnoyarsk Russia Department of Technological Machines and Equipment for Oil and Gas Complex Siberian Federal University Krasnoyarsk Russia Digital Material Science: New Materials and Technologie Bauman Moscow State Technical University Krasnoyarsk Russia Department of Information Economic Systems Reshetnev Siberian State University of Science and Technology Krasnoyarsk Russia

A simulation model of a simple supply chain consisting of a single distribution center and several points of sale was created. Initially, a new model was created with the name "Suplly Chain" and watches as units of model time. Next, a GIS (geographic information system) map was added to the diagram of the main object using the standard display settings. The distributor properties were defined and it marked the distribution point on the map. Next, retailers were added to the map: using the OpenStreetMap online server, to which AnyLogic sends addresses and receives coordinates and automatically arranges retailers. Manually added the properties of retailers. The next step was to create a model of trucks and their movement logic is set. To do this, a state diagram was used, with the help of which a diagram of the state of the logic of trucks was obtained. Using the New Agent Wizard, add a new agent type – order. It also changed the status chart to display order information. The created model was supplemented, where time was added for unloading and loading trucks from retailers. A basic simulation model of supply chains was built, and ideas for improving this model were considered.

关键词： Supply chain management Supply chains Companies Watches Servers Reliability Sustainable development

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Deep Reinforcement Learning Attitude control of Fixed-Wing UAVs

Deep Reinforcement Learning Attitude Control of Fixed-Wing U...

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IEEE International Conference on Unmanned systems (ICUS)

作者： Yan Zhen Mingrui Hao Wendi Sun Science and technology on complex system control and intelligent agent cooperation laboratory Beijing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

The fixed-wing UAV is a non-linear and strongly coupled system. controlling UAV attitude stability is the basis for ensuring flight safety and performing tasks successfully. The non-linear characteristic of the UAV is the main reason for the difficulty of attitude stabilization. Deep reinforcement learning for the UAV attitude control is a new method to design controller. The algorithm learns the nonlinear characteristics of the system from the training data. Due to the good performance, the PPO algorithm is the mainly algorithm of reinforcement learning. The PPO algorithm interacts with the reinforcement learning training environment by gazebo, and improve attitude controller, different from the traditional PID control method, the attitude controller based on deep reinforcement learning uses the neural network to generate control signals and controls the rotation of rudder directly.

关键词： Intelligent agents complex systems Reinforcement learning Training TV Research and development Phase shift keying

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Research Status and Application of the Cooperative Guidance technology for Aerial Vehicle Swarm systems Based on Spatiotemporal Coordination

Research Status and Application of the Cooperative Guidance ...

引用

IEEE International Conference on Unmanned systems (ICUS)

作者： Yanyan Wang Jianquan Yuan Qingxi Chi Mingrui Hao Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

From the perspective of military demand for swarm fight, it is point out that the cooperative guidance technology of multiple aerial vehicles based on spatiotemporal coordination is a key technology to effectively improve penetration probability and combat effectiveness. Then, in view of the development status of cooperative guidance technology for multiple aerial vehicles, it introduces thoughts on technology development at home and abroad based on time coordination, space coordination and spatiotemporal coordination, perspectively. Finally, the cooperative guidance technology of multiple aerial vehicles is summarized, and the future development direction is prospected.

关键词： Collaboration Space vehicles Vehicle dynamics systematics Real-time systems Aerospace electronics Intelligent agents

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Temperature prediction of generator carbon brush based on LSTM neural network

Temperature prediction of generator carbon brush based on LS...

引用

2021 China Automation Congress, CAC 2021

作者： Zhang, Qing Jiao, Tingyang Ma, Yinxing Zhang, Youmin Wu, Xiaohui Wu, Pengyue Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China The Faculty of Computing Science The University of Alberta EdmontonABT6G 2R3 Canada Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi 'an University of Technology Xi'an710048 China Department of Mechanical Industrial and Aerospace Engineering Concordia University MontrealQCH3G 1M8 Canada Huaneng Weihai Power Generation Co. Ltd Weihai264200 China Xi 'an Thermal Power Research Institute Co. Ltd Xi'an710048 China

ISBN: (纸本)9781665426473

In order to improve the prediction accuracy of the carbon brush temperature trend of the generator, analyzing the operating state of the generator more accurately, and reduce other accidents like the unplanned outage caused by carbon brush failure of the generator in the power plant. A multi-step temperature prediction model based on the LSTM (Long Short-Term Memory) neural network is proposed. The data comes from real operating carbon brush temperature of Weihai Power Plant in ten days. Then the temperature prediction model is established to achieve an accurate prediction of the carbon brush temperature in the future day. The prediction error is stable within 0.4 °C. By comparing the predicted results of the BP model and Elman model, the error between the predicted results of each model and the actual temperature data is analyzed. By comparing the indicators and analyzing the actual curves, the results show that LSTM neural network has higher accuracy in predicting the temperature of generator carbon brush. This method is of reference significance for the accurate analysis of the operation state of the generator and the load analysis of the excitation system. © 2021 IEEE

关键词： Long short-term memory

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A dual-mode navigation algorithm based on Infrared and SAR information fusion

A dual-mode navigation algorithm based on Infrared and SAR i...

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IEEE International Conference on Radar

作者： Yanjiao Yang Guangzhou Qu Bo Li Meng Ma ShuaiShuai Liu Qingxi Chi Beijing Electro-Mechanical Engineering Institute Beijing China Control and Intelligent Agent Coopration Laboratory Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Beijing China

ISBN: (纸本)9781665468893

Focused on revising the cumulative error of the SINS, a dual-mode navigation algorithm based on the infrared and SAR information fusion is studied in this paper. The SAR system can provide the SAR image and the information including the distance and the beam direction of the SAR antenna, the infrared system can provide the infrared image and the optical axis direction of the infrared lens. Under the premise of the same direction of the SAR and infrared beam, a navigation algorithm by associating the matching results of the SAR image and infrared image with the digital map is studied, which can be applied to amend the aberration of the SINS in the middle phase. At the same time, the common aperture characteristic and GPS error isolation method are used to isolate the error sub area. The simulation results reveal the validity of the algorithm.

关键词： Satellites Spaceborne radar Simulation Optical imaging Radar polarimetry Hardware Optical sensors

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The Research on Simulation technology for multi-aircraft cooperative guidance

The Research on Simulation Technology for multi-aircraft coo...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Jing, Li Chao, Shen Jiahui, Tong Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728137926

In this paper, the composition and operation mechanism of a multi-aircraft cooperative simulation system is analyzed, with its formal architecture identified as a discrete event system differential equation system specifications (DEVDESS). Then, the operation and control problem of the cooperative simulation system is converted into the simulation control problem of a specific DEVDESS system. A coordinator-based test method for cooperative simulation is proposed and validated by tests of real-time mathematical simulation. © 2019 IEEE.

关键词： Hardware-in-the-loop simulation

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